Programming SDN-Native Big Data Applications: Research Gap Analysis. - Khaled Alwasel; Yinhao Li; Prem Prakash Jayaraman; Saurabh Kumar Garg 001; Rodrigo N. Calheiros; Rajiv Ranjan 001 (IEEE Cloud Comput., 2017)

Multi-frame super resolution using frame selection and multiple fusion for 250 million pixel images. - Yinhao Li; Yutaro Iwamoto; Katsuhisa Ogawa; Yen-Wei Chen 001 (ICCE, 2018)

End-to-End Service Level Agreement Specification for IoT Applications. - Awatif Alqahtani; Yinhao Li; Pankesh Patel; Ellis Solaiman; Rajiv Ranjan 001 (HPCS, 2018)

A Cost-Efficient Multi-cloud Orchestrator for Benchmarking Containerized Web-Applications. - Devki Nandan Jha; Zhenyu Wen; Yinhao Li; Michael Nee; Maciej Koutny; Rajiv Ranjan 001 (WISE, 2019)

Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey. - Bin Qian 002; Jie Su 001; Zhenyu Wen; Devki Nandan Jha; Yinhao Li; Yu Guan; Deepak Puthal; Philip James 002; Renyu Yang; Albert Y. Zomaya; Omer F. Rana; Lizhe Wang 001; et al. (CoRR, 2019)

IoT-CANE: A unified knowledge management system for data-centric Internet of Things application systems. - Yinhao Li; Awatif Alqahtani; Ellis Solaiman; Charith Perera; Prem Prakash Jayaraman; Rajkumar Buyya; Graham Morgan; Rajiv Ranjan 001 (J. Parallel Distributed Comput., 2019)

Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution. - Yinhao Li; Yutaro Iwamoto; Lanfen Lin; Yen-Wei Chen 001 (ACCV Workshops, 2020)

A Lightweight Deep Network for 3D Medical Image Segmentation. - Toshiki Kawahara; Yinhao Li; Yutaro Iwamoto; Lanfen Lin; Yen-Wei Chen 001 (GCCE, 2020)

IoTWC: Analytic Hierarchy Process Based Internet of Things Workflow Composition System. - Yinhao Li; Devki Nandan Jha; Gagangeet Singh Aujla; Graham Morgan; Albert Y. Zomaya; Rajiv Ranjan 001 (IC2E, 2020)

VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data. - Yinhao Li; Yutaro Iwamoto; Lanfen Lin; Rui Xu 002; Yen-Wei Chen 001 (CoRR, 2020)

Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images. - Yinhao Li; Katsuhisa Ogawa; Yutaro Iwamoto; Yen-Wei Chen 001 (IET Image Process., 2020)

DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. - Li Xiao 005; Chunlong Luo; Tianqi Yu; Yufan Luo; Manqing Wang; Fuhai Yu; Yinhao Li; Chan Tian; Jie Qiao (IEEE Trans. Medical Imaging, 2020)

Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance. - Hongyi Wang 002; Lanfen Lin; Hongjie Hu; Qingqing Chen 001; Yinhao Li; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (MICCAI (1), 2021)

Privacy & Cloud Services: Are We There Yet? - Davit Marikyan; Jose Tomas Llanos; Masoud Barati; Gagangeet Singh Aujla; Yinhao Li; Kwabena Adu-Duodu; Sabeen Tahir; Omer F. Rana; Savvas Papagiannidis; Rajiv Ranjan 001; Madeline Carr (SOSE, 2021)

Deep learning to segment pelvic bones: large-scale CT datasets and baseline models. - Pengbo Liu 004; Hu Han 001; Yuanqi Du; Heqin Zhu; Yinhao Li; Feng Gu; Honghu Xiao; Jun Li 103; Chunpeng Zhao; Li Xiao 005; Xinbao Wu; S. Kevin Zhou (Int. J. Comput. Assist. Radiol. Surg., 2021)

Pathological Image Segmentation with Noisy Labels. - Li Xiao 005; Yinhao Li; Luxi Qv; Xinxia Tian; Yijie Peng; S. Kevin Zhou (CoRR, 2021)

Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey. - Bin Qian 002; Jie Su 001; Zhenyu Wen; Devki Nandan Jha; Yinhao Li; Yu Guan; Deepak Puthal; Philip James 002; Renyu Yang; Albert Y. Zomaya; Omer F. Rana; Lizhe Wang 001; et al. (ACM Comput. Surv., 2021)

VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data. - Yinhao Li; Yutaro Iwamoto; Lanfen Lin; Rui Xu 002; Ruofeng Tong 001; Yen-Wei Chen 001 (IEEE Trans. Image Process., 2021)

A Transformer-Based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-modality MRI. - Gan Zhan; Fang Wang 030; Weibin Wang; Yinhao Li; Qingqing Chen 001; Hongjie Hu; Yen-Wei Chen 001 (ACCV (Workshops), 2022)

TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices. - Tomasz Szydlo; Prem Prakash Jayaraman; Yinhao Li; Graham Morgan; Rajiv Ranjan 001 (CIKM, 2022)

Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer. - Yang Ai; Panyanat Aonpong; Weibin Wang; Yinhao Li; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001 (EMBC, 2022)

Three Dimensional Microscope Image Super-resolution Using Deep Learning and Self-similarity. - Tomoya Komiyama; Yinhao Li; Yen-Wei Chen 001; Yu Song 008; Yutaro Iwamoto (GCCE, 2022)

Automatic Reference Image Selection Approach for Reference-Based Image Super-Resolution. - Kazuma Okada; Yutaro Iwamoto; Yinhao Li; Yen-Wei Chen 001 (GCCE, 2022)

Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image. - Weibin Wang; Fang Wang 030; Yunjun Yang; Yinhao Li; Jing Liu 041; Xianhua Han; Lanfen Lin; Ruofeng Tong 001; Hongjie Hu; Yen-Wei Chen 001 (GCCE, 2022)

Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer. - Yinhao Li; Yutaro Iwamoto; Ryousuke Nakamura; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001 (CoRR, 2022)

STS: Surround-view Temporal Stereo for Multi-view 3D Detection. - Zengran Wang; Chen Min; Zheng Ge; Yinhao Li; Zeming Li; Hongyu Yang; Di Huang 001 (CoRR, 2022)

BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo. - Yinhao Li; Han Bao 008; Zheng Ge; Jinrong Yang; Jianjian Sun; Zeming Li (CoRR, 2022)

Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance. - Hongyi Wang 002; Lanfen Lin; Hongjie Hu; Qingqing Chen 001; Yinhao Li; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (CoRR, 2022)

A Fault-Tolerant Workflow Composition and Deployment Automation IoT Framework in a Multicloud Edge Environment. - Osama Almurshed; Omer Farooq Rana; Yinhao Li; Rajiv Ranjan 001; Devki Nandan Jha; Pankesh Patel; Prem Prakash Jayaraman; Schahram Dustdar (IEEE Internet Comput., 2022)

FedMSA: A Model Selection and Adaptation System for Federated Learning. - Rui Sun; Yinhao Li; Tejal Shah; Ringo W. H. Sham; Tomasz Szydlo; Bin Qian 002; Dhaval Thakker; Rajiv Ranjan 001 (Sensors, 2022)

Dynamic Bandwidth Slicing for Time-Critical IoT Data Streams in the Edge-Cloud Continuum. - Fawzy Habeeb; Khaled Alwasel; Ayman Noor; Devki Nandan Jha; Duaa AlQattan; Yinhao Li; Gagangeet Singh Aujla; Tomasz Szydlo; Rajiv Ranjan 001 (IEEE Trans. Ind. Informatics, 2022)

BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo. - Yinhao Li; Han Bao 008; Zheng Ge; Jinrong Yang; Jianjian Sun; Zeming Li (AAAI, 2023)

BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection. - Yinhao Li; Zheng Ge; Guanyi Yu; Jinrong Yang; Zengran Wang; Yukang Shi; Jianjian Sun; Zeming Li (AAAI, 2023)

Tracking Material Reuse across Construction Supply Chains. - Stanly Wilson; Kwabena Adu-Duodu; Yinhao Li; Ringo W. H. Sham; Yingli Wang; Ellis Solaiman; Charith Perera; Rajiv Ranjan 001; Omer F. Rana (e-Science, 2023)

Adaptive Graph Convolutional Networks for Medical Image Segmentation. - Shurong Chai; Rahul Kumar Jain 001; Yinhao Li; Jiaqing Liu; Tomoko Tateyama; Yen-Wei Chen 001 (EMBC, 2023)

Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images. - Rahul Kumar Jain 001; Takahiro Sato; Ahmed M. El-Sayed; Taro Watasue; Tomohiro Nakagawa; Yutaro Iwamoto; Yinhao Li; Xianhua Han; Lanfen Lin; Hongjie Hu; Xiang Ruan; Yen-Wei Chen 001 (EMBC, 2023)

Multi-task Model for Glioma Segmentation and Isocitrate Dehydrogenase Status Prediction Using Global and Local Features. - Xiaoyu Shi; Yinhao Li; Jingliang Cheng; Jie Bai; Guohua Zhao; Yen-Wei Chen 001 (EMBC, 2023)

Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images. - Yulin Yang; Yinhao Li; Qingqing Chen 001; Xian-Hua Han; Jing Liu 041; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (EMBC, 2023)

A Self-Attention Based Fusion Model of Radiomics and Deep Features for Early Recurrence Prediction in NSCLC. - Yang Ai; Yinhao Li; Rahul Kumar Jain 001; Yen-Wei Chen 001 (GCCE, 2023)

Integrating Spatial Prior Adapter for Enhancing SAM Performance in Medical Image Segmentation. - Jihong Hu; Yinhao Li; Lanfen Lin; Yen-Wei Chen 001 (GCCE, 2023)

A Multi-View Weighted Fusion Model for Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI. - Hikari Maeda; Yutaro Iwamoto; Masahiro Nonaka; Yinhao Li; Yen-Wei Chen 001 (GCCE, 2023)

FreISH: A Database of Japanese Freshwater Fish in the Wild and Baseline Recognition Evaluations. - Nozomi Mise; Yinhao Li; Yen-Wei Chen 001 (GCCE, 2023)

A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI. - Xianru Zhang; Gan Zhan; Fang Wang 030; Yinhao Li; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (GCCE, 2023)

MSPA-DLA++: A Multi-Scale Phase Attention Deep Layer Aggregation for Lesion Detection in Multi-Phase CT Images. - Titinunt Kitrungrotsakul; Yingying Xu; Qingqing Chen 001; Jing Liu 041; Yinhao Li; Lanfen Lin; Hongjie Hu; Ruofeng Tong 001; Jingsong Li 001; Yen-Wei Chen 001 (MedInfo, 2023)

A Spatial-Temporal Graph Convolutional Networks-based Approach for the OpenPack Challenge 2022. - Shurong Chai; Jiaqing Liu; Rahul Kumar Jain 001; Yinhao Li; Tomoko Tateyama; Yen-Wei Chen 001 (PerCom Workshops, 2023)

BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo. - Yinhao Li; Jinrong Yang; Jianjian Sun; Han Bao 008; Zheng Ge; Li Xiao (CoRR, 2023)

Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images. - Xiaoyu Shi; Shurong Chai; Yinhao Li; Jingliang Cheng; Jie Bai; Guohua Zhao; Yen-Wei Chen 001 (CoRR, 2023)

Unsupervised MRI Super Resolution Using Deep External Learning and Guided Residual Dense Network With Multimodal Image Priors. - Yutaro Iwamoto; Kyohei Takeda; Yinhao Li; Akihiko Shiino; Yen-Wei Chen 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Biologically Interpretable Model for Precise Recurrence Prediction of Non-Small Cell Lung Cancer. - Yang Ai; Xiuju Du; Jing Liu; Yinhao Li; Lanfen Lin; Jingsong Li; Yen-Wei Chen 001 (EMBC, 2024)

UPMatch: Enhancing Semi-Supervised Medical Image Classification through Contrastive Learning with Unreliable Pseudo Labels. - Jihong Hu; Yinhao Li; Lanfen Lin; Yen-Wei Chen 001 (EMBC, 2024)

GANs-guided Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images. - Yulin Yang; Jing Liu 041; Qingqing Chen 001; Yinhao Li; Xian-Hua Han; Hongjie Hu; Lanfen Lin; Yen-Wei Chen 001 (EMBC, 2024)

STFormer: Learning to Explore Spot Relationships for Spatial Transcriptomics Prediction from Histology of Colorectal Cancer. - Gan Zhan; Xiuju Du; Jing Liu; Yinhao Li; Lanfen Lin; Jingsong Li; Yen-Wei Chen 001 (EMBC, 2024)

A Cycle-GAN-Based Method for Real-World Image Super-Resolution. - Ryusei Imamura; Yinhao Li; Hiroshi Taga; Koki Iwasa; Ryuichi Shichikawa; Makoto Suganami; Kazuhiro Nakamoto; Yen-Wei Chen 001 (GCCE, 2024)

k-Uniform Hypergraph Reasoning Network for Focal Liver Lesions Classification in Multimodal Magnetic Resonance Imaging. - Shaocong Mo; Ming Cai; Lanfen Lin; Ruofeng Tong 001; Fang Wang 030; Qingqing Chen 001; Hongjie Hu; Yinhao Li; Yen-Wei Chen 001 (GCCE, 2024)

Knowledge Distillation Using Segment Anything to U-Net Model for Lightweight High accuracy Medical Image Segmentation. - Xiaoyu Shi; Yinhao Li; Jingliang Cheng; Jie Bai; Guohua Zhao; Yen-Wei Chen 001 (GCCE, 2024)

A Deep Learning-based Deraining Approach using Frequency Domain Loss. - Yusuke Yamamoto; Yinhao Li; Hiroshi Taga; Koki Iwasa; Ryuichi Shichikawa; Makoto Suganami; Kazuhiro Nakamoto; Yen-Wei Chen 001 (GCCE, 2024)

Verifiable Querying Framework for Multi-Blockchain Applications. - Stanly Wilson; Kwabena Adu-Duodu; Yinhao Li; Ringo W. H. Sham; Ellis Solaiman; Omer F. Rana; Rajiv Ranjan 001 (ICBC, 2024)

Medical SAM: A Glioma Segmentation Fine-tuning Method for SAM Using Brain MR Images. - Xiaoyu Shi; Yinhao Li; Jingliang Cheng; Jie Bai; Guohua Zhao; Yen-Wei Chen 001 (ICCE, 2024)

Ladder Fine-tuning Approach for SAM Integrating Complementary Network. - Shurong Chai; Rahul Kumar Jain 001; Shiyu Teng; Jiaqing Liu; Yinhao Li; Tomoko Tateyama; Yen-Wei Chen 001 (KES, 2024)

A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation. - Shurong Chai; Rahul Kumar Jain 001; Shaocong Mo; Jiaqing Liu; Yulin Yang; Yinhao Li; Tomoko Tateyama; Lanfen Lin; Yen-Wei Chen 001 (MICCAI (9), 2024)

LGA: A Language Guide Adapter for Advancing the SAM Model's Capabilities in Medical Image Segmentation. - Jihong Hu; Yinhao Li; Hao Sun 013; Yu Song 008; Chujie Zhang; Lanfen Lin; Yen-Wei Chen 001 (MICCAI (12), 2024)

Multimodal Fusion with Cross-attention Transformer for HCC Early Recurrence Prediction from Multi-Phase CT and Clinical Data. - Xianru Zhang; Fang Wang 030; Yinhao Li; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (MLMI, 2024)

A motion-aware and temporal-enhanced Spatial-Temporal Graph Convolutional Network for skeleton-based human action segmentation. - Shurong Chai; Rahul Kumar Jain 001; Jiaqing Liu; Shiyu Teng; Tomoko Tateyama; Yinhao Li; Yen-Wei Chen 001 (Neurocomputing, 2024)

Data Management Challenges in Blockchain-Based Applications. - Stanly Wilson; Kwabena Adu-Duodu; Yinhao Li; Ellis Solaiman; Omer Farooq Rana; Schahram Dustdar; Rajiv Ranjan 001 (IEEE Internet Comput., 2024)

Rapid Crowd Evacuation for Passenger Ships Using LPWAN. - Yuting Ma; Kezhong Liu; Mozi Chen; Yinhao Li; Rui Sun; Rajiv Ranjan 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Blockchain-Enabled Provenance Tracking for Sustainable Material Reuse in Construction Supply Chains. - Stanly Wilson; Kwabena Adu-Duodu; Yinhao Li; Ringo W. H. Sham; Mohammed Almubarak; Yingli Wang; Ellis Solaiman; Charith Perera; Rajiv Ranjan 001; Omer F. Rana (Future Internet, 2024)

Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. - Yulin Yang; Qingqing Chen 001; Yinhao Li; Fang Wang 030; Xian-Hua Han; Yutaro Iwamoto; Jing Liu 041; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (IEEE J. Biomed. Health Informatics, 2024)

GeoDeploy: Geo-Distributed Application Deployment Using Benchmarking. - Devki Nandan Jha; Yinhao Li; Zhenyu Wen; Graham Morgan; Prem Prakash Jayaraman; Maciej Koutny; Omer F. Rana; Rajiv Ranjan 001 (IEEE Trans. Parallel Distributed Syst., 2024)

A Circular Construction Product Ontology for End-of-Life Decision-Making. - Kwabena Adu-Duodu; Stanly Wilson; Yinhao Li; Aanuoluwapo Oladimeji; Talea Huraysi; Masoud Barati; Charith Perera; Ellis Solaiman; Omer F. Rana; Rajiv Ranjan 001; Tejal Shah (SAC, 2025)

Accurate Tracking of Arabidopsis Root Cortex Cell Nuclei in 3D Time-Lapse Microscopy Images Based on Genetic Algorithm. - Yu Song 008; Tatsuaki Goh; Yinhao Li; Jiahua Dong; Shunsuke Miyashima; Yutaro Iwamoto; Yohei Kondo; Keiji Nakajima; Yen-wei Chen (CoRR, 2025)

Multi-modal Medical SAM: An Adaptation Method of Segment Anything Model (SAM) for Glioma Segmentation Using Multi-modal MR Images. - Xiaoyu Shi; Rahul Kumar Jain 001; Yinhao Li; Shurong Chai; Jingliang Cheng; Jie Bai; Guohua Zhao; Lanfen Lin; Yen-Wei Chen 001 (ACM Trans. Comput. Heal., 2025)

SAMA: A Self-and-Mutual Attention Network for Accurate Recurrence Prediction of Non-Small Cell Lung Cancer Using Genetic and CT Data. - Yang Ai; Jing Liu 041; Yinhao Li; Fang Wang 030; Xiuju Du; Rahul Kumar Jain 001; Lanfen Lin; Yen-Wei Chen 001 (IEEE J. Biomed. Health Informatics, 2025)

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration. - Xiaoyu Shi; Rahul Kumar Jain 001; Yinhao Li; Ruibo Hou; Jingliang Cheng; Jie Bai; Guohua Zhao; Lanfen Lin; Rui Xu 002; Yen-Wei Chen 001 (CoRR, 2025)